My kenote from Conversion Summit on all the stuff that's wrong with optimisation and split testing - with some practical tips on what you can do about it!
15. If it isn‟t working, you‟re not doing it right
@OptimiseOrDie
16. #1 : Your analytics are cattle trucked
@OptimiseOrDie
17. #1 : Your analytics are cattle trucked
@OptimiseOrDie
18. #1 : Common problems (GA)
• Dual purpose goal page
– One page used by two outcomes – and not split
• Cross domain tracking
– Where you jump between sites, this borks the data
• Filters not correctly set up
– Your office, agencies, developers are skewing data
• Code missing or double code
– Causes visit splitting, double pageviews, skews bounce rate
• Campaign, Social, Email tracking etc.
– External links you generate are not setup to record properly
• Errors not tracked (404, 5xx, Other)
– You are unaware of error volumes, locations and impact
• Dual flow funnels
– Flows join in the middle of a funnel or loop internally
• Event tracking skews bounce rate
– If an event is set to be „interactive‟ – it can skew bounce rate (example)
@OptimiseOrDie
19. #1 : Common problems (GA)
– EXAMPLE
19
Landing
1st
interaction
Loss
2nd
interaction
Loss
3rd
interaction
Loss
4th
interaction
Loss
55900 527 99.1% 66 87.5% 55 16.7% 33 40.0%
30900 4120 86.7% 2470 40.0% 1680 32.0% 1240 26.2%
20. #1 : Solutions
• Get a Health Check for your Analytics
– Try @prwd, @danbarker, @peter_oneill or ask me!
• Invest continually in instrumentation
– Aim for at least 5% of dev time to fix + improve
• Stop shrugging : plug your insight gaps
– Change „I don‟t know‟ to „I‟ll find out‟
• Look at event tracking (Google Analytics)
– If set up correctly, you get wonderful insights
• Would you use paper instead of a till?
– You wouldn‟t do it in retail so stop doing it online!
• How do you win F1 races?
– With the wrong performance data, you won‟t
@OptimiseOrDie
21. Insight - Inputs
#FAIL
Competitor
copying
Guessing
Dice rolling
An article
the CEO
read
Competitor
change
Panic
Ego
Opinion
Cherished
notions
Marketing
whims Cosmic rays
Not ‘on
brand’
enough
IT
inflexibility
Internal
company
needs
Some
dumbass
consultant
Shiny
feature
blindness
Knee jerk
reactons
#2 : Your inputs are all wrong
@OptimiseOrDie
22. Insight - Inputs
Insight
Segmentation
Surveys
Sales and
Call Centre
Session
Replay
Social
analytics
Customer
contact
Eye tracking
Usability
testing
Forms
analytics
Search
analytics Voice of
Customer
Market
research
A/B and
MVT testing
Big &
unstructured
data
Web
analytics
Competitor
evalsCustomer
services
#2 : Your inputs are all wrong
@OptimiseOrDie
23. #2 : Solutions
• Usability testing and User Centred design
– If you‟re not doing this properly, you‟re hosed
• Champion UX+ - with added numbers
– (Re)designing without inputs + numbers is guessing
• You need one team on this, not silos
– Stop handing round the baby (I‟ll come back to this)
• Ego, Opinion, Cherished notions – fill gaps
– Fill these vacuums with insights and data
• Champion the users
– Someone needs to take their side!
• You need multiple tool inputs
– Let me show you my core list
@OptimiseOrDie
24. #2 : Core tools
• Properly set up analytics
– Without this foundation, you‟re toast
• Session replay tools
– Clicktale, Tealeaf, Sessioncam and more…
• Cheap / Crowdsourced usability testing
– See the resource pack for more details
• Voice of Customer / Feedback tools
– 4Q, Kampyle, Qualaroo, Usabilla and more…
• A/B and Multivariate testing
– Optimizely, Google Content Experiments, VWO
• Email, Browser and Mobile testing
– You don‟t know if it works unless you check
@OptimiseOrDie
25. #3 : You‟re not testing (enough)
@OptimiseOrDie
26. #3 : Common problems
• Let’s take a quick poll
– How many tests do you complete a month?
• Not enough resource
– You MUST hire, invest and ringfence time and staff for CRO
• Testing has gone to sleep
– Some vendors have a „rescue‟ team for these accounts
• Vanity testing takes hold
– Getting one test done a quarter? Still showing it a year later?
• You keep testing without buyin at C-Level
– If nobody sees the flower, was it there?
• You haven’t got a process – just a plugin
– Insight, Brainstorm, Wireframe, Design, Build, QA test, Monitor,
Analyse. Tools, Process, People, Time -> INVEST
• IT or release barriers slow down work
– Circumvent with tagging tools
– Develop ways around the innovation barrier @OptimiseOrDie
28. #4 : Not executing fast enough
• Silo Mentality means pass the product
– No „one team‟ approach means no „one product‟
• The process is badly designed
– See the resource pack or ask me later!
• People mistake hypotheses for finals
– Endless argument, tweaking means NO TESTING – let the test
decide, please!
• No clarity : authority or decision making
– You need a strong leader to get things decided
• Signoff takes far too long
– Signoff by committee is a velocity killer – the CUSTOMER and
the NUMBERS are the signoff
• You set your target too low
– Aim for a high target and keep increasing it
@OptimiseOrDie
30. #4 : Execution solutions
• Agile, One Team approach
– Everyone works on the lifecycle, together
• Hire Polymaths
– T-shaped or just multi-skilled, I hire them a lot
• Use Collaborative Tools, not meetings
– See the resource pack
• Market the results
– Market this stuff internally like a PR agency
– Encourage betting in the office
• Smash down silos – a special mission
– Involve the worst offenders in the hypothesis team
– “Hold your friends close, and your enemies closer”
– Work WITH the developers to find solutions
– Ask Developers and IT for solutions, not apologies
@OptimiseOrDie
31. #5 : Product cycles are too long
0 6 12 18
Months
Conversion
@OptimiseOrDie
32. #5 : Solutions
• Give Priority Boarding for opportunities
– The best seats reserved for metric shifters
• Release more often to close the gap
– More testing resource helps, analytics „hawk eye‟
• Kaizen – continuous improvement
– Others call it JFDI (just f***ing do it)
• Make changes AS WELL as tests, basically!
– These small things add up
• RUSH Hair booking – Over 100 changes
– No functional changes at all – 37% improvement
• Inbetween product lifecycles?
– The added lift for 10 days work, worth 360k
@OptimiseOrDie
34. #6 – No Photo UX
24 Jan 2012
• Persuasion / Influence /
Direction / Explanation
• Helps people process
information and stories
• Vital to sell an „experience‟
• Helps people recognise and
discriminate between things
• Supports Scanning Visitors
• Drives emotional response
short.cx/YrBczl
35. • Very powerful and under-estimated area
• I‟ve done over 20M visitor tests with people
images for a service industry – some tips:
• The person, pose, eye gaze, facial
expressions and body language – cause
visceral emotional reactions and big changes
in behaviour
• Eye gaze crucial – to engage you or to „point‟
Photo UX
24 Jan 2012
36. • Negative body language is a turnoff
• Uniforms and branding a positive (ball cap)
• Hands are hard to handle – use a prop to help
• For Ecommerce – tip! test bigger images!
• Autoglass and Belron always use real people
• In most countries (out of 33) with strong female
and male images in test, female wins
• Smile and authenticity in these examples is
absolutely vital
• So, I have a question for you
Photo UX
@OptimiseOrDie
41. #7 : Your tests are cattle trucked
• Many tests fail due to QA or browser bugs
– Always do cross browser QA testing – see resources
• Don’t rely on developers saying ‘yes’
– Use your analytics to define the list to test
• Cross instrument your analytics
– You need this to check the test software works
• Store the variant(s) seen in analytics
– Compare people who saw A/B/A vs. A/B/B
• Segment your data to find variances
– Failed tests usually show differences for segments
• Watch the test and analytics CLOSELY
– After you go live, religiously check both
– Read this article : stanford.io/15UYov0
@OptimiseOrDie
42. #8 : Stats are confusing
• Many testers & marketing people struggle
– How long will it take to run the test?
– Is the test ready?
– How long should I keep it running for?
– It says it‟s ready after 3 days – is it?
– Can we close it now – the numbers look great!
• A/B testing maths for dummies:
– http://bit.ly/15UXLS4
• For more advanced testers:
– Read this : http://bit.ly/1a4iJ1H
• I’m going to build a stats course
– To explain all the common questions
– To save me having to explain this crap all the time
@OptimiseOrDie
43. #9 : You‟re not segmenting
• Averages lie
– What about new vs. returning visitors?
– What about different keyword groups?
– Landing pages? Routes? Attributes
• Failed tests are just ‘averaged out’
– You must look at segment level data
– You must integrate the analytics + a/b test software
• The downside?
– You‟ll need more test data – to segment
• The upside?
– Helps figure out why test didn‟t perform
– Finds value in failed or „no difference‟ tests
– Drives further testing focus
@OptimiseOrDie
44. #10 : You‟re unichannel optimising
• Not using call tracking
– Look at Infinity Tracking (UK)
– Get Google keyword level call volumes!
• You don’t measure channel switchers
– People who bail a funnel and call
– People who use chat or other contact/sales
• You ‘forget’ mobile & tablet journeys
– Walk the path from search -> ppc/seo -> site
– Optimise for all your device mix & journeys
• You’re responsive
– Testing may now bleed across device platforms
– Changing in one place may impact many others
– QA, Device and Browser testing even more vital
@OptimiseOrDie
45. SUMMARY : The best Companies….
• Invest continually in Analytics instrumentation, tools & people
• Use an Agile, iterative, Cross-silo, One team project culture
• Prefer collaborative tools to having lots of meetings
• Prioritise development based on numbers and insight
• Practice real continuous product improvement, not SLED
• Source photos and copy that support persuasion and utility
• Have cross channel, cross device design, testing and QA
• Segment their data for valuable insights, every test or change
• Continually try to reduce cycle (iteration) time in their process
• Blend ‘long’ design, continuous improvement AND split tests
• Make optimisation the engine of change, not the slave of ego
• See the Maturity Model in the resource pack
@OptimiseOrDie
47. Why does my AB testing suck?
5th Sep 2013 @OptimiseOrDie
48. #11 Top Split Test & CRO questions
#1 How to choose test type!
#2 Top CRO questions
48
49. 11.1 – How to choose the test type
• Test complexity – this drains time!
• Analytics – will this allow you to test before/after?
• Money now or Precise data later
• What stage are you at with the client?
• How volatile is the data and traffic?
• Are there huge non weekly patterns – seasonal?
• A/B tests – Design shift, new baseline, local maxima
• MVT – Need to know variables, client can’t settle
• Small MVT – A/B + MVT benefits (2x2x2 or 2x2x4)
• Traffic is your biggest factor here
• Use the VWO test run calculator
• Do a rough calculation yourself
• Let’s look at some recent pages of yours
50. 11.2 – Top Conversion Questions
• 32 questions, picked by Practitioners
• I plan to record them all as a course!
• What top stuff did I hear?
“How long will my test
take?”
“When should I check
the results?”
“How do I know if it‟s
ready?” 50
51. #1 The tennis court
– Let’s say we want to estimate, on average, what height Roger Federer
and Nadal hit the ball over the net at. So, let’s start the match:
51
52. First Set Federer 6-4
– We start to collect values
52
62cm
+/- 2cm
63.5cm
+/- 2cm
53. Second Set – Nadal 7-6
– Nadal starts sending them low over the net
53
62cm
+/- 1cm
62.5cm
+/- 1cm
54. Final Set Nadal 7-6
– We start to collect values
61.8cm
+/- .3cm
62cm
+/- .3cm
55. Let’s look at this a different way
55
62.5cm
+/- 1cm
9.1 ± 0.3%
57. #1 Summary
• The minimum length
– 2 business cycles
OR
– 250, pref 350 outcomes in each
– Calculate time to reach minimum
– Work on footfall, not sitewide
– So, if you get 1,000 visitors a day to a new test page
– You convert at around 5% (50 checkouts)
– You have two creatives
– At current volumes, you’ll get ~25 checkouts a day for each creative
– That means you need 14 days minimum
– If they separate, it might take less (but business cycle rule kicks in)
– If they don’t separate, it could take longer
– Remember it’s a fuzzy region – not a precise point
57
58. #1 Summary
• The minimum length
– Depends on performance
– If you test two shades of blue?
– Traffic may change
– PPC budget might run out
– TV advertising may start
– Segment level performance may drive
– You can estimate a test length – you cannot predict it
– Be aware of your marketing activity, always
– Watch your test like a hyper-engaged chef
58
59. 11.3 – Are we there yet? Early test stages…
• Ignore the graphs. Don’t draw conclusions. Don’t dance. Calm down.
• Get a feel for the test but don’t do anything yet!
• Remember – in A/B - 50% of returning visitors will see a new shiny website!
• Until your test has had at least 1 business cycle and 250-350 outcomes, don’t
bother drawing conclusions or getting excited!
• You’re looking for anything that looks really odd – your analytics person should be
checking all the figures until you’re satisfied
• All tests move around or show big swings early in the testing cycle. Here is a very
high traffic site – it still takes 10 days to start settling. Lower traffic sites will
stretch this period further.
59
60. 11.4 – What happens when a test flips on me?
• Something like this can happen:
• Check your sample size. If it‟s still small, then expect this until the test settles.
• If the test does genuinely flip – and quite severely – then something has changed with
the traffic mix, the customer base or your advertising. Maybe the PPC budget ran
out? Seriously!
• To analyse a flipped test, you‟ll need to check your segmented data. This is why you
have a split testing package AND an analytics system.
• The segmented data will help you to identify the source of the shift in response to your
test. I rarely get a flipped one and it‟s always something changing on me, without
being told. The heartless bastards.
60
61. 11.5 – What happens if a test is still moving around?
• There are three reasons it is moving around
– Your sample size (outcomes) is still too small
– The external traffic mix, customers or reaction has
suddenly changed or
– Your inbound marketing driven traffic mix is
completely volatile (very rare)
• Check the sample size
• Check all your marketing activity
• Check the instrumentation
• If no reason, check segmentation
61
62. 11.6 – How do I know when it’s ready?
• The hallmarks of a cooked test are:
– It’s done at least 1 or 2 (preferred) cycles
– You have at least 250-350 outcomes for each recipe
– It’s not moving around hugely at creative or segment level
performance
– The test results are clear – even if the precise values are not
– The intervals are not overlapping (much)
– If a test is still moving around, you need to investigate
– Always declare on a business cycle boundary – not the middle of
a period (this introduces bias)
– Don’t declare in the middle of a limited time period advertising
campaign (e.g. TV, print, online)
– Always test before and after large marketing campaigns (one
week on, one week off)
62
63. 11.7 – What happens if it’s inconclusive?
• Analyse the segmentation
• One or more segments may be over and under
• They may be cancelling out – the average is a lie
• The segment level performance will help you
(beware of small sample sizes)
• If you genuinely have a test which failed to move any
segments, it’s a crap test
• This usually happens when it isn’t bold or brave
enough in shifting away from the original design,
particularly on lower traffic sites
• Get testing again!
63
64. 11.8 – What QA testing should I do?
• Cross Browser Testing
• Testing from several locations (office, home, elsewhere)
• Testing the IP filtering is set up
• Test tags are firing correctly (analytics and the test tool)
• Test as a repeat visitor and check session timeouts
• Cross check figures from 2+ sources
• Monitor closely from launch, recheck
64
65. 11.9 – What happens if it fails?
• Learn from the failure
• If you can’t learn from the failure, you’ve designed a crap test.
Next time you design, imagine all your stuff failing. What would
you do? If you don’t know or you’re not sure, get it changed so
that a negative becomes useful.
• So : failure itself at a creative or variable level should tell you
something.
• On a failed test, always analyse the segmentation
• One or more segments will be over and under
• Check for varied performance
• Now add the failure info to your Knowledge Base:
• Look at it carefully – what does the failure tell you? Which
element do you think drove the failure?
• If you know what failed (e.g. making the price bigger) then you
have very useful information
• You turned the handle the wrong way
• Now brainstorm a new test
65
66. 11.10 – Should I run an A/A test first?
• No – and this is why:
– It’s a waste of time
– It’s easier to test and monitor instead
– You are eating into test time
– Also applies to A/A/B/B testing
– A/B/A running at 25%/50%/25% is the best
• Read my post here :
http://bit.ly/WcI9EZ
66
67. 11.11 – What is a good conversion rate?
Higher than the one
you had last month!
67
68. #12 – Top reasons summary
• You weren’t bold enough
• You made the test too complex
• Your test didn’t tell you anything
(failures too!)
• You didn’t do browser QA
• The session model is broken
• Your redirects are flawed
• Your office is part of the bias
• The test isn’t truly random / The
samples aren’t representative
• Your sample size is too small
• You didn’t test for long enough
• You didn’t look at the error rates
• You didn’t cross instrument
68
• You’ve missed one or more
underlying cycles
• You don’t factor in before/after
cycles
• One test has an inherent
performance bias (load time, for
example)
• You didn’t watch segment
performance
• You’re measuring too shallowly in
the funnel
• Your traffic mix has changed
• You’re not measuring channel
switchers (phone/email/chat etc.)
• The analytics setup is broken!
69. #13 – Summary - tests
• This isn’t about tools – it’s about your thinking and approach to
problems. Bravery and curiosity more important than wizardry!
• Keep it simple and aim for actionable truths and insights
• Invest in staff, training, analytics (yours and your clients)
• More wired in clients means happier agency!
• Fixing problems impresses clients even before you start (health check)
• Prioritise issues into opportunity & effort
• Showing models around money is a winner
• Do something every week to make the client configuration better
• Let me use a till analogy!
• What about a Formula 1 racing car?
• Get clients to pay you to invest in their future
• Give staff time to train themselves, go on courses, get qualified
• On that note – experience with core skills + topups = GA experts
• Tap into the community out there
• Hopefully this has given you a great springboard to MORE!
69
70. Is there a way to fix this then?
70
Conversion
Heroes!
@OptimiseOrDie
74. So you want examples?
• Belron – Ed Colley
• Dell – Nazli Yuzak
• Shop Direct – Paul Postance (now with EE)
• Expedia – Oliver Paton
• Schuh – Stuart McMillan
• Soundcloud – Eleftherios Diakomichalis & Ole Bahlmann
• Gov.uk – Adam Bailin (now with the BBC)
Read the gov.uk principles : www.gov.uk/designprinciples
And my personal favourite of 2013 – Airbnb!
@OptimiseOrDie
79. 13.1 - Session Replay
• 3 kinds of tool :
Client side
• Normally Javascript based
• Pros : Rich mouse and click data,
errors, forms analytics, UI interactions.
• Cons : Dynamic content issue, Performance hit
Server side
• Black Box -> Proxy, Sniffer, Port copying device
• Pros : Gets all dynamic content, fast, legally tight
• Cons : No client side interactions, Ajax, HTML5 etc.
Hybrid
• Clientside and Sniffing with central data store
79
80. 13.1 - Session Replay
• Vital for optimisers & fills in a ‘missing link’ for insight
• Rich source of data on visitor experiences
• Segment by browser, visitor type, behaviour, errors
• Forms Analytics (when instrumented) are awesome
• Can be used to optimise in real time!
Session replay tools
• Clicktale (Client) www.clicktale.com
• SessionCam (Client) www.sessioncam.com
• Mouseflow (Client) www.mouseflow.com
• Ghostrec (Client) www.ghostrec.com
• Usabilla (Client) www.usabilla.com
• Tealeaf (Hybrid) www.tealeaf.com
• UserReplay (Server) www.userreplay.com 80
84. 13.2 - Feedback / VOC tools
• Anything that allows immediate realtime onpage feedback
• Comments on elements, pages and overall site & service
• Can be used for behavioural triggered feedback
• Tip! : Take the Call Centre for beers
• Kampyle
www.kampyle.com
• Qualaroo
www.qualaroo.com
• 4Q
4q.iperceptions.com
• Usabilla
www.usabilla.com
84
85. 13.3 - Survey Tools
• Surveymonkey www.surveymonkey.com (1/5)
• Zoomerang www.zoomerang.com (3/5)
• SurveyGizmo www.surveygizmo.com (5/5)
• For surveys, web forms, checkouts, lead gen – anything with
form filling – you have to read these two:
Caroline Jarrett (@cjforms)
Luke Wroblewski (@lukew)
• With their work and copywriting from @stickycontent, I
managed to get a survey with a 35% clickthrough from email
and a whopping 94% form completion rate.
• Their awesome insights are the killer app I have when
optimising forms and funnel processes for clients.
85
87. 13.5 - Stingy Client Testing
• Mobile can be lots of fun
• Some low budget stuff you may know about already:
CamStudio (free)
www.camstudio.org
Mediacam AV (cheap)
www.netu2.co.uk
Silverback (Mac)
www.silverbackapp.com
Screenflow (Mac)
www.telestream.net
UX Recorder (iOS), Skype Hugging, Reflection
www.uxrecorder.com & bit.ly/tesTfm & bit.ly/GZMgxR 87
93. • Lots of people don’t know this
• Serious time is getting wasted on pulling and preparing data
• Use the Google API to roll your own reports straight into Big G
• Google Analytics + API + Google docs integration = A BETTER LIFE!
• Hack your way to having more productive weeks
• Learn how to do this to make completely custom reports
1.6 - Google Docs and Automation
93
103. Som, feedbackRemote UX tools (P=Panel, S=Site recruited, B=Both)
Usertesting (B) www.usertesting.com
Userlytics (B) www.userlytics.com
Userzoom (S) www.userzoom.com
Intuition HQ (S) www.intuitionhq.com
Mechanical turk (S) www.mechanicalturk.com
Loop11 (S) www.loop11.com
Open Hallway (S) www.openhallway.com
What Users Do (P) www.whatusersdo.com
Feedback army (P) www.feedbackarmy.com
User feel (P) www.userfeel.com
Ethnio (For Recruiting) www.ethnio.com
Feedback on Prototypes / Mockups
Pidoco www.pidoco.com
Verify from Zurb www.verifyapp.com
Five second test www.fivesecondtest.com
Conceptshare www.conceptshare.com
Usabilla www.usabilla.com
13.10 – UX Crowd tools
103
104. 13.11 - Web Analytics Love
• Properly instrumented analytics
• Investment of 5-10% of developer time
• Add more than you need
• Events insights
• Segmentation
• Call tracking love!
104
105. 13.12 - Tap 2 Call tracking
Step 1 : Add a unique phone number on ALL channels
(or insert your own dynamic number)
Step 2 : For phones, add “Tap to Call” or “Click to Call”
• Add Analytics event or tag for phone calls!
• Very reliable data, easy & cheap to do
• What did they do before calling?
• Which page did they call you from?
• What PPC or SEO keyword did they use?
• Incredibly useful – this keyword level call data
• What are you over or underbidding for?
• Will help you shave 10, 20%+ off PPC
• Which online marketing really sucks?
105
107. 13.12 – And desktops?
Step 1 : Add ‘Click to reveal’
• Can be a link, button or a collapsed section
• Add to your analytics software
• This is a great budget option!
Step 2 : Invest in call analytics
• Unique visitor tracking for desktop
• Gives you that detailed marketing data
• Easy to implement
• Integrates with your web analytics
• Let me explain…
107
108. 13.12 - So what does phone tracking get you?
• You can do it for free on your online channels
• If you’ve got any phone sales or contact operation, this will
change the game for you
• For the first time, analytics for PHONE for web to claim
• Optimise your PPC spend
• Track and Test stuff on phones, using web technology
• The two best phone A/B tests? You’ll laugh!
108
109. Who?Company Website Coverage
Mongoose Metrics* www.mongoosemetrics.com UK, USA, Canada
Ifbyphone* www.ifbyphone.com USA
TheCallR* www.thecallr.com USA, Canada, UK, IT, FR, BE, ES, NL
Call tracking metrics www.calltrackingmetrics.com USA
Hosted Numbers www.hostednumbers.com USA
Callcap www.callcap.com USA
Freespee* www.freespee.com
UK, SE, FI, NO, DK, LT, PL, IE, CZ,
SI, AT, NL, DE
Adinsight* www.adinsight.co.uk UK
Infinity tracking* www.infinity-tracking.com UK
Optilead* www.optilead.co.uk UK
Switchboard free www.switchboardfree.co.uk UK
Freshegg www.freshegg.co.uk UK
Avanser www.avanser.com.au AUS
Jet Interactive* www.jetinteractive.com.au AUS
* I read up on these or talked to them. These are my picks.
109
111. 13.12 - Web Analytics Love
• People, Process, Human problems
• UX of web analytics tools and reports
• Make the UI force decisions!
• Playability and exploration
• Skunkworks project time (5-10%)
• Give it love, time, money and iteration
• How often do you iterate analytics?
• Lastly, spend to automate, gain MORE time
111
114. RESOURCE PACK
• Maturity model
• Crowdsourced UX
• Collaborative tools
• Testing tools for CRO & QA
• Belron methodology example
• CRO and testing resources
114
115. Ad Hoc
Local Heroes
Chaotic Good
Level 1
Starter Level
Guessing
A/B testing
Basic tools
Analytics
Surveys
Contact Centre
Low budget
usability
Outline process
Small team
Low hanging fruit
+ Multi variate
Session replay
No segments
+Regular usability
testing/research
Prototyping
Session replay
Onsite feedback
________________________________________________________________________
_____________________ _
Dedicated team
Volume
opportunities
Cross silo team
Systematic tests
Ninja Team
Testing in the
DNA
Well developed Streamlined Company wide
+Funnel
optimisation
Call tracking
Some segments
Micro testing
Bounce rates
Big volume
landing pages
+ Funnel analysis
Low converting
& High loss pages
+ offline
integration
Single channel
picture
+ Funnel fixes
Forms analytics
Channel switches
+Cross channel
testing
Integrated CRO
and analytics
Segmentation
+Spread tool use
Dynamic adaptive
targeting
Machine learning
Realtime
Multichannel
funnels
Cross channel
synergy
________________________________________________________________________
_______________________
________________________________________________________________________
________________________
Testing
focus
Culture
Process
Analytics
focus
Insight
methods
+User Centered
Design
Layered feedback
Mini product tests
Get buyin
_________________________________________________________________________
_______________________Mission Prove ROI Scale the testing Mine value
Continual
improvement
+ Customer sat
scores tied to UX
Rapid iterative
testing and
design
+ All channel view
of customer
Driving offline
using online
All promotion
driven by testing
Level 2
Early maturity
Level 3
Serious testing
Level 4
Core business value
Level 5
You rock, awesomely
________________________________________________________________________
________________________
115
116. Som, feedbackRemote UX tools (P=Panel, S=Site recruited, B=Both)
Usertesting (B) www.usertesting.com
Userlytics (B) www.userlytics.com
Userzoom (S) www.userzoom.com
Intuition HQ (S) www.intuitionhq.com
Mechanical turk (S) www.mechanicalturk.com
Loop11 (S) www.loop11.com
Open Hallway (S) www.openhallway.com
What Users Do (P) www.whatusersdo.com
Feedback army (P) www.feedbackarmy.com
User feel (P) www.userfeel.com
Ethnio (For Recruiting) www.ethnio.com
Feedback on Prototypes / Mockups
Pidoco www.pidoco.com
Verify from Zurb www.verifyapp.com
Five second test www.fivesecondtest.com
Conceptshare www.conceptshare.com
Usabilla www.usabilla.com
2 - UX Crowd tools
116
122. • Lots of people don’t know this
• Serious time is getting wasted on pulling and preparing data
• Use the Google API to roll your own reports straight into Big G
• Google Analytics + API + Google docs integration = A BETTER LIFE!
• Hack your way to having more productive weeks
• Learn how to do this to make completely custom reports
3.5 - Google Docs and Automation
122
128. 5 – Méthodologies - Lean UX
Positive
– Lightweight and very fast methods
– Realtime or rapid improvements
– Documentation light, value high
– Low on wastage and frippery
– Fast time to market, then optimise
– Allows you to pivot into new areas
Negative
– Often needs user test feedback to
steer the development, as data not
enough
– Bosses distrust stuff where the
outcome isn’t known
“The application of UX design methods into product
development, tailored to fit Build-Measure-Learn cycles.”
128
129. 5 - Agile UX / UCD / Collaborative Design
Positive
– User centric
– Goals met substantially
– Rapid time to market (especially when
using Agile iterations)
Negative
– Without quant data, user goals can
drive the show – missing the business
sweet spot
– Some people find it hard to integrate
with siloed teams
– Doesn’t’ work with waterfall IMHO
Wireframe
Prototype
TestAnalyse
Concept
Research
“An integration of User Experience Design and Agile*
Software Development Methodologies”
*Sometimes
129
131. 5 - Lean Conversion Optimisation
Positive
– A blend of several techniques
– Multiple sources of Qual and Quant data aids triangulation
– CRO analytics focus drives unearned value inside all
products
Negative
– Needs a one team approach with a strong PM who is a
Polymath (Commercial, Analytics, UX, Technical)
– Only works if your teams can take the pace – you might be
surprised though!
“A blend of User Experience Design, Agile PM, Rapid Lean
UX Build-Measure-Learn cycles, triangulated data
sources, triage and prioritisation.”
131
133. 5 - Triage and Triangulation
• Starts with the analytics data
• Then UX and user journey walkthrough from SERPS -> key paths
• Then back to analytics data for a whole range of reports:
• Segmented reporting, Traffic sources, Device viewport and
browser, Platform (tablet, mobile, desktop) and many more
• We use other tools or insight sources to help form hypotheses
• We triangulate with other data where possible
• We estimate the potential uplift of fixing/improving something
as well as the difficulty (time/resource/complexity/risk)
• A simple quadrant shows the value clusters
• We then WORK the highest and easiest scores by…
• Turning every opportunity spotted into an OUTCOME
“This is where the smarts of CRO are – in identifying the
easiest stuff to test or fix that will drive the largest uplift.”
133
134. 5 - The Bucket Methodology
“Helps you to stream actions from the insights and prioritisation work.
Forces an action for every issue, a counter for every opportunity being lost.”
Test
If there is an obvious opportunity to shift behaviour, expose insight or
increase conversion – this bucket is where you place stuff for testing. If
you have traffic and leakage, this is the bucket for that issue.
Instrument
If an issue is placed in this bucket, it means we need to beef up the
analytics reporting. This can involve fixing, adding or improving tag or
event handling on the analytics configuration. We instrument both
structurally and for insight in the pain points we’ve found.
Hypothesise
This is where we’ve found a page, widget or process that’s just not working
well but we don’t see a clear single solution. Since we need to really shift
the behaviour at this crux point, we’ll brainstorm hypotheses. Driven by
evidence and data, we’ll create test plans to find the answers to the
questions and change the conversion or KPI figure in the desired direction.
Just Do It
JFDI (Just Do It) – is a bucket for issues where a fix is easy to identify or the
change is a no-brainer. Items marked with this flag can either be deployed
in a batch or as part of a controlled test. Stuff in here requires low effort
or are micro-opportunities to increase conversion and should be fixed.
Investigate You need to do some testing with particular devices or need more
information to triangulate a problem you spotted. If an item is in this
bucket, you need to ask questions or do further digging. 134
135. 5 - Belron example – Funnel replacement
Final
prototype
Usability
issues left
Final changes Release build
Legal review
kickoff
Cust services
review kickoff
Marketing
review
Test Plan
Signoff
(Legal, Mktng
, CCC)
Instrument
analytics
Instrument
Contact
Centre
Offline
tagging
QA testing
End-End
testing
Launch
90/10%
Monitor
Launch
80/20%
Monitor < 1
week
Launch
50/50%
Go live 100%
Analytics
review
Washup and
actions
New
hypotheses
New test
design
Rinse and
Repeat!
137. END SLIDES
137
Feel free to steal, re-use, appropriate or otherwise lift
stuff from this deck.
If it was useful to you – email me or tweet me and tell me
why – I‟d be DELIGHTED to hear!
Regards,
Craig.
Editor's Notes
This stuff is important. What do photographs do?Well they help me persuade people, influence their thinking, give them directions or cues and explain things – this is the scanning generation!And they’re very powerful when selling experiences, stories or using the power of social proofThey help people very quickly (more quickly than reading) discriminate, evaluate – work out what stuff is, how it’s organized, what the things are, what’s being shown to you.And most importantly, they drive emotional response in people. Whether you like being soggy, wet and without toilet paper for a 30 mile radius or not, a picture like this gets a RESPONSE! Work it!Lastly, a shout out to James Chudley, who’s book this example comes from.
So this is quite a powerful area – what about people images?I’ve tested quite a few of these – in over 20 countries and over 15 languages. What did I find?Well - the person, pose, eye gaze, facial expressions and body language – cause visceral emotional reactions and big changes in behaviour. The difference between a crappy image and one optimised to get the right response is huge.And one interesting thing Eye gaze is pretty crucial – to engage you, the viewer, or to ‘point’ or draw eye gaze and attention to a product. I’ve tested all angles of viewing and in these people images, the best view is straight at the viewer or slightly away. Any further and the conversion rate drops. It makes a difference I can count.
Tomorrow - Go forth and kick their flabby low converting asses
These are all people on twitter who cover hybrid stuff – where usability, psychology, analytics and persuasive writing collide. If you follow this lot, you’ll be much smarter within a month, guaranteed.
And here are the most useful resources I regularly use or share with people. They have the best and most practical advice – cool insights but with practical applications.A special mention here to my friends at PRWD, who are one of the few companies blending Psychology, Split Testing and UX for superb gains in rapid time. Check out their resources section on their website.
So – what’s driving this change then? Well there have been great books on selling and persuading people – all the way back to ‘Scientific Advertising’ in 1923.And my favourite here is the Cialdini work – simply because it’s a great help for people to find practical uses for these techniques.I’ve also included some analytics and testing books here – primarily because they help so MUCH in augmenting our customer insight, testing and measurement efforts.There are lots of books with really cool examples, great stories and absolutely no fucking useful information you can use on your website – if you’ve read some of these, you’ll know exactly what I mean. These are the tomes I got most practical use from and I’d recommend you buy the whole lot – worth every penny.
“A piece of paper with your design mockup. A customer in a shop or bookstore. Their finger is their mouse, the paper their screen. Where would they click? Do they know what these labels mean? Do they see the major routes out of the page? Any barriers.Congratulations, you just got feedback on your design, before writing a single freaking line of code or asking your developers to keep changing stuff.”
“A piece of paper with your design mockup. A customer in a shop or bookstore. Their finger is their mouse, the paper their screen. Where would they click? Do they know what these labels mean? Do they see the major routes out of the page? Any barriers.Congratulations, you just got feedback on your design, before writing a single freaking line of code or asking your developers to keep changing stuff.”
“A piece of paper with your design mockup. A customer in a shop or bookstore. Their finger is their mouse, the paper their screen. Where would they click? Do they know what these labels mean? Do they see the major routes out of the page? Any barriers.Congratulations, you just got feedback on your design, before writing a single freaking line of code or asking your developers to keep changing stuff.”
Create a suck index = pageviews * load time.
Here I show you some examples of well known brands, some of whom should know better. The larger the size of the page, the longer it will take to download and render on the device, especially when you don’t have perfect data conditions. The numberof requests also makes a difference, as it’s inefficient on mobile to open lots of connections like this. In short, the smaller the pagesize and number of requests you can aim for, the better. I’m patient with bad data connections but do people have the tolerance for 10-15 seconds on mobile? No – it has to happen much faster.
These are the results of a live test on a site, where an artificial delay is introduced in the performance testing. I’ve done some testing like this myself on desktop and mobile sites and confirm this is true – you’re increasing bounce rate, decreasing conversion, site engagement…It doesn’t matter what metric you use, performance equals MONEY or if not measured, a HUGE LOSS.
Performance also harms the lifeblood of e-commerce and revenue generating websites – repeat visitors! The gap here in one second of delay is enormous over time. You’re basically sucking a huge portion of potential business out of your site, with every additional bit of waiting time you add.
Add unique phone numbers to all your mobile sites and apps. That’s for starters.Then configure your analytics to collect data when people Click or Tap to make a phone call.Make sure you add other events like ringbacks, email, chat – any web forms or lead gen activity too.
So what does this graph say? That I have a long tail thing I want to talk to you about?No – this shows how much the ratio of phone to online conversion we have, by keyword.Some keywords generate nearly 25 times the call volume of others, which is a huge differential.This means that if you thought you got ‘roughly’ the same proportion of phone calls for different marketing activity, you are wrong.What this graph tells me is that the last 2 years of my stats are basically a big dog poo.
Add unique phone numbers to all your mobile sites and apps. That’s for starters.Then configure your analytics to collect data when people Click or Tap to make a phone call.Make sure you add other events like ringbacks, email, chat – any web forms or lead gen activity too.
Phone tracking costs you nothing – you can add it in a few minutes to your app or mobile website, by changing your analytics tracking.Now you can see exactly which bits of inbound marketing are driving telephone and other contact channelsIf you have any sort of phone component in your service or support, the insight could be vitalYou can take traffic by keyword, source, campaign or advert creative and work out the TRUE mix of conversion activityAnd all this is also available on Desktop too – by using dynamic numbers, we can track exactly the same stuff.Talk to this company : www.infinity-tracking.com
So what does this graph say? That I have a long tail thing I want to talk to you about?No – this shows how much the ratio of phone to online conversion we have, by keyword.Some keywords generate nearly 25 times the call volume of others, which is a huge differential.This means that if you thought you got ‘roughly’ the same proportion of phone calls for different marketing activity, you are wrong.What this graph tells me is that the last 2 years of my stats are basically a big dog poo.
“A piece of paper with your design mockup. A customer in a shop or bookstore. Their finger is their mouse, the paper their screen. Where would they click? Do they know what these labels mean? Do they see the major routes out of the page? Any barriers.Congratulations, you just got feedback on your design, before writing a single freaking line of code or asking your developers to keep changing stuff.”
“A piece of paper with your design mockup. A customer in a shop or bookstore. Their finger is their mouse, the paper their screen. Where would they click? Do they know what these labels mean? Do they see the major routes out of the page? Any barriers.Congratulations, you just got feedback on your design, before writing a single freaking line of code or asking your developers to keep changing stuff.”
“A piece of paper with your design mockup. A customer in a shop or bookstore. Their finger is their mouse, the paper their screen. Where would they click? Do they know what these labels mean? Do they see the major routes out of the page? Any barriers.Congratulations, you just got feedback on your design, before writing a single freaking line of code or asking your developers to keep changing stuff.”